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2 Mar 2026 Job Information Organisation/Company The University of Edinburgh Department School of Engineering Research Field Engineering » Electronic engineering Engineering » Communication
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and experimental data, the student will develop predictive models of strand displacement reactions in non-ideal settings, in collaboration with the other students within BIOHYBRITE. These areas include
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of Singapore's research and innovation ecosystem and aims to support the development of a sustainable, climate-resilient, and healthy city through data-driven design and policy-relevant research. The programme
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, with strong links to international collaborations and impact-driven hydrogen research. As a member of Research Staff at the University of Bath, you will be encouraged to take up a minimum of 10 days
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and quality‑controlled, generating high‑quality serological, molecular and genomic data alongside metadata that will feed dashboards as well as catalytic and phylodynamic models. The post includes
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performance. As the KTP Associate, you will act as the vital link between academia and industry, translating research into production and gaining hands-on experience in applied innovation, leadership, and
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for hardware control and data visualization. • Experience in working in wet-lab environment and/or dealing with food samples • Industry experience in product development and/or in vitro diagnostics is highly
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are safely received, triaged, processed, sequenced and quality‑controlled, generating high‑quality serological, molecular and genomic data alongside metadata that will feed dashboards as well as catalytic and
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and visual monitoring during deployment, working in coordination with the RT3D development led by E-Sailor 15. The research includes conducting laboratory and in-orbit experiments using data from